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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2021
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Evolutionary games

Authors: Torrús López, Pablo;

Evolutionary games

Abstract

[en] Evolutionary game theory is the application of game theory to evolving populations in different contexts as biology or economics. It defines a theoretical framework of contests and strategies into which Darwinian competition can be modelled. In this work, we will present the main concepts of this field from a mathematical perspective, being the evolutionary stable strategies (ESS) and the replicator dynamics systems the most important concepts. Firstly, we present the basic concepts of game theory and qualitative theory of differential equations that will be used throughout the work. We also study how to represent plannar differential systems using the Poincaré compactification. Then, we develop a theoretical study of the ESS and explain the different type of games where this concept can be applied, player versus environment games and player versus player games. Finally, we explain the replicator dynamics and weaker concepts of evolution than ESS. All the sections will have different examples in order to help the reader understand and apply the theory.

Treballs Finals del Doble Grau d'Administració i Direcció d'Empreses i de Matemàtiques, Facultat d'Economia i Empresa i Facultat de Matemàtiques i Informàtica, Universitat de Barcelona, Curs: 2020-2021, Tutors: Xavier Jarque i Ribera i Josep Maria Izquierdo Aznar

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Spain
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Keywords

Teoria de jocs, Mathematical models, Bachelor's thesis, Evolution, Bachelor's theses, Models matemàtics, Treballs de fi de grau, Evolució, Game theory

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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